Staff Computational Scientist Jobs in California

Collaborate with partners from engineering to customer experience to inform strategic builds of essential compliance program elements

Expert level abilities in SQL and data analysis/visualization tools (i.e. Tableau, Looker)

Deep experience using data to solve complex, ambiguous problems

Vision to define problems and manage projects in a fast-­paced, evolving organization

Paid Life insurance, AD&D, and disability benefits

Perform deep dive analysis into different customer segments and/or products to identify pockets of compliance risk

Provide technical direction to graduate students, postdocs, and research associates as appropriate, and assist in the management of research projects.

Provide users with support through your own efforts, hands-on and with your expert knowledge, in the area of electron microscopy.

Communicate with users of varying levels of experience in electron microscopy with empathy and professionalism.

Share in user-related operations, maintenance/administration, and development responsibilities within the NCEM Facility.

Strong analytical and problem-solving skills

Research experience and an established track record working in electron microscopy research at academic, industrial, or other research institutions.

This position is eligible for LBNL’s Employee Referral Program benefit(s).

Lawrence Berkeley National Laboratory has multiple openings for a Chemist Staff Scientist/Engineer in Berkeley, CA.

1. Thin film semiconductor synthesis via chemical solution processing such as spin coating or blade coating;

2. Materials characterizations including spectroscopy, diffraction, and imaging tools applied during or after material synthesis;

4. Synchrotron track record on operando and in situ studies of thin film semiconductors; and

Equal Opportunity and IDEA Information Links:

15+ years of experience in scientific software development in C/C++, CUDA, and Python.

Demonstrated experience in advanced Fourier analysis and nonuniform Fast Fourier transforms.

Deep knowledge of dynamical scattering theory, the distorted-wave Born approximation, and multi-slice algorithms.

Experience in developing scalable GPU implementations of fully 3D Mixed-Scale Dense networks for experimental image analysis.

Extensive experience in collaborating with beamline scientists on analyzing experimental X-ray tomography and grazing-incidence small-angle X-ray scattering data.

Experience in writing research/funding proposals.

Experience with data management and statistical methods.

OEHHA has a hybrid work environment that includes work in an office setting and telework at home.

Knowledge of chemical databases and software relevant to SARs, QSARs, QSPRs, and QPPRs.

Knowledge of the qualitative and quantitative read-across assessments.

Successful experience in having a major leading role in projects or activities or on teams.

Ability to retrieve and manage data for subsequent analysis.

Highly motivated with excellent attention to detail. Good communication (oral and written) and collaboration skills.

Experience in cell culture and tissue preparation techniques.

Experience in troubleshooting and optimization of molecular biology assays including reagent formulation and workflow optimization.

Experience in product development including product release.

Advanced fluorescence imaging techniques. Experience in microscopy image analysis.

Additional Desirable Skills To Have

Literature review and investigation to identify key requirements on structure-based computational design for specific GPCR binding antibodies.

Great communication skills, (oral and written), along with a proven record of presentations and publications.

Experienced in research of GPCRs family would be highly desirable.

Hands-on experience in wet-lab techniques, coupled with a willingness to undertake training for additional wet-lab support tasks.

Experienced in molecular dynamics, simulation, physics-based computations or similar. (In particular of Rosetta).

Exceptional collaborative skills are a crucial, as the role requires working closely with a multi-functional team.

8+ years of combined post-graduate academic and industry experience applying scientific methods to solve real-world problems on web-scale data.

Excellent communication skills: able to lead initiatives across multiple product areas and communicate findings with leadership and product teams.

Experience leading key technical projects and substantially influencing the scope and output of others.

Experience in the strategic analytics side of data science: shaping decisions rather than just building models.

What Skills Are Ideal But Not Required

Information regarding the culture at Pinterest and benefits available for this position can be found here.

You are experienced with agile methodologies using project planning and tracking management tools e.g., JIRA

You are skilled in Python. R, Scala are optional.

You are experienced in basic ETL practices. SQL experience is required, working experience in SparkSQL or PySpark is preferred.

You have experience with cloud environments including Azure, Google Cloud, etc.

Support the development of the Customer Decision Engine. Provide Causal Inference capabilities to cover the entire customer shopping journey.

Identify data collection opportunities to better understand the customer/associate experience. Support the build out of data feature store.

Present and visualise results in a clear and concise way to senior management for decision making.

Able to show good communication skills, and experience in visualising and reporting learnings.

4+ years experience as a data scientist in a technology company

Experience with a broad set of statistical and machine learning methods to solve and optimize critical business problems and metrics

Prior experience in advertising data products.

Leverage understanding of metrics, testing methodology and business strategy to help define the roadmap of the company.

PhD in Statistics, Operations Research, Industrial Engineering and Mathematics or other quantitative fields with 3+ years of relevant work experience.

Strong knowledge of mathematical programming modeling, optimization, and machine learning.

Demonstrated production-level coding and programming abilities.

Experience of building large-scale Machine learning (deep learning and reinforcement learning) or optimization driven products.

Work with operations and product stakeholders to understand business needs and interpret them with scientific languages.

Independently develop Proof-Of-Concepts models of solves sequential decision making processes.

Strong background in statistics, either from academic research or industry experience

Advanced statistical programming skills, e.g., in Python or R

Experience manipulating, visualizing, and interpreting big data

PhD in statistics, math, physics, or another quantitative research area

Ability to interpret and work with data in the presence of ambiguity (e.g., confounding factors, data sparsity or quality challenges),

Willingness, ability, and patience to understand highly complex systems

MS degree in Chemistry and 2+ years of similar experience noted above OR

Ph.D. in Computational Chemistry or related field and 1+ years of postdoctoral experience in Structure-Based Design preferred

Strong knowledge of scientific discipline

Good knowledge of scientific principles, methods and techniques

Good knowledge and demonstrated ability working with a variety of laboratory equipment/tools

Good problem-solving, analytical thinking skills

Synthesize data into succinct presentations that influence senior management decision making

Knowledge of statistical modeling or machine learning is preferred but not a requirement

8+ years of relevant work experience in growth or marketing capacity, with demonstrated experience developing and analyzing marketing campaigns

Industry experience in Banking, Brokerage, Credit Card and Marketing Analytics highly desired

Intellectual curiosity and aptitude to pick up new technical skills

Strong programming skills in SQL, Python and proficiency in Tableau